fitlog | tool used to assist users

by fastnlp Python Version: v0.9.13 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | fitlog Summary

fitlog is a Python library. fitlog has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.

fitlog is a tool used to assist users in recording logs and managing codes in deep learning training

Support

Quality

Security

License

Reuse

Support

fitlog has a medium active ecosystem.

It has 1292 star(s) with 121 fork(s). There are 24 watchers for this library.

It had no major release in the last 12 months.

There are 17 open issues and 36 have been closed. On average issues are closed in 20 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of fitlog is v0.9.13

Quality

fitlog has 0 bugs and 0 code smells.

Security

fitlog has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

fitlog code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

fitlog is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

fitlog releases are available to install and integrate.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed fitlog and discovered the below as its top functions. This is intended to give you an instant insight into fitlog implemented functionality, and help decide if they suit your requirements.

Generate a summary table
Returns a list of options
Calculate the value for each group in the data
Return a colored string
Read an update from a file
Check if the meta file has finished
Create file handler
Close all open file handlers
Add hyper in the given file
Show folder
Returns a list of metrics
Read a single update from the log file
Set the logging directory
Return a list of short log files
Create a new summary
Generate a summary table
Finish the task
Generate a line index
Parse filters
Set random seed
Commit a file
Commit the experiment
Reads logs from the log directory
Calculate the minimum value of a list
Calculate the maximum value for a given list
List charts
Command for log

Get all kandi verified functions for this library.

fitlog Key Features

No Key Features are available at this moment for fitlog.

fitlog Examples and Code Snippets

No Code Snippets are available at this moment for fitlog.

Community Discussions

Trending Discussions on fitlog

How to fit logarithmic regression to a "negative exponential" scatterplot in R

Line style in q-q plot in R

QUESTION

How to fit logarithmic regression to a "negative exponential" scatterplot in R

Asked 2021-Feb-19 at 15:42

I have a scatterplot of Daily Rainfall (x) and Observations (y), which looks like the right/positive x-value half of a x^-2 plot or a logarithmic plot to the base of 1/2. Basically y values are really high when x values are really low. The bigger the x values get, the lower y's become. But the rate at which y values decrease becomes slower and y's are never negative.

Here is a representative sample:

...

ANSWER

Answered 2021-Feb-19 at 15:42

Your obs variable fits pretty well to the inverse of rain. For example

Source https://stackoverflow.com/questions/66227464

QUESTION

Line style in q-q plot in R

Asked 2020-Oct-13 at 15:49

Why I did get lines instead of standard bubbles in my q-q plot?

My code:

...

ANSWER

Answered 2020-Oct-13 at 15:49

From the documentation for qqcomp - get to it by ?qqcomp.

qqcomp provides a plot of the quantiles of each theoretical distribution (x-axis) against the empirical quantiles of the data (y-axis), by default defining probability points as (1:n - 0.5)/n for theoretical quantile calculation (data are assumed continuous). For large dataset (n > 1e4), lines are drawn instead of points and customized with the fitpch parameter.

This is a design feature. Your data must have more than 10000 values. If that is the case, the bubbles on the q-q plot would be difficulty to individually distinguish. Additionally, they are large enough that the bubbles for one model would cover those for the other.

Source https://stackoverflow.com/questions/64338437

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install fitlog

You can download it from GitHub.
You can use fitlog like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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